Learn about Chattermill
By Brenna and 6 others7 authors23 articles
How Chattermill gets your dataLearn the different ways that Chattermill can get your data.
How to use Search in FeedbackHow to use Search in Feedback to find exactly what you need
How to save and manage SegmentsSave the combination of Themes and Filters that matter to you.
How to use saved Segments across the platformSmart ways to filter and analyse your data using Segments
How to add tags to commentsLearn how to use tags for organizing comments
Which languages are supported and how does translation workLearn how Chattermill supports multiple languages
Understand how to use Feedback and discover best practices
Migration to new, context-rich and actionable PhrasesLearn how we improved our Phrases to bring more actionable and contextually-rich insights.
Tips: How to get quality responses from surveysDiscover ways to get quality responses from a large number of survey respondents
Help video libraryOur complete catalog of help videos
Tips: How many people should we surveyHow many people need to take your survey to make it statistically significant?
Tagging Validation: Best Practice 🎓This article contains best practice guidance and the answer to FAQs about validating your tagging before model deployment!
Frequently Asked QuestionsFind answers to your questions
Data guidelinesHow to make the transfer of your data to Chattermill as seamless as possible 🚀
Theme Structure review: Best Practice 🎓This article contains best practice guidance and the answer to FAQs about our Theme Structure and how to review it!
Understand how to analyze your data and discover best practices
Understanding metricsA breakdown of the key metrics you can track using Chattermill.
How we calculate Positivity & Negativity IndexUnderstand how we analyze theme mentions
How to use the Sentiment Distribution MetricLearn how Sentiment Distribution works
Understanding Impact Analysis by NPSLearn how Impact Analysis enables you to understand how different themes contribute to your NPS
Impact Analysis by Net Sentiment